Results 41 to 50 of about 37,511 (289)
Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Advanced Functional Materials, EarlyView.Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 more
wiley +1 more source
Rcapture: Loglinear Models for Capture-Recapture in R
Journal of Statistical Software, 2007 This article introduces Rcapture, an R package for capture-recapture experiments. The data for analysis consists of the frequencies of the observable capture histories over the t capture occasions of the experiment. A capture history is a vector of zeros
Sophie Baillargeon, Louis-Paul Rivest
doaj
Applied Sciences, 2019 A new statistical method for the quality control of the positional accuracy, useful in a wide range of data sets, is proposed and its use is illustrated through its application to airborne laser scanner (ALS) data.
Francisco Javier Ariza-López +3 more
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Linear combination of chi-squares for multinomial process monitoring
Gestão & Produção, 2021 : Marcucci (1985) proposed a chi square goodness of fit statistic based generalized p-chart for multinomial process monitoring. A chi square distribution quantile was considered as a control chart limit.
Ramzi Talmoudi +2 more
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Correction The probabilities of large deviations for a certain class of statistics associated with multinomial distributions [PDF]
, 2021 Sherzod M. Mirakhmedov
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Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Bayesian sequential estimation of the proportion of damage in maize seeds
Scientia AgricolaSampling is an essential step in estimating a parameter: thus, cost and time associated to this step should be minimized. Sequential sampling is characterized by using samples of variable sizes given as a function of observations, and sequential sampling
Isabela da Silva Lima +2 more
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Estimating the Density Ratio between Distributions with High Discrepancy using Multinomial Logistic Regression [PDF]
, 2023 Akash Srivastava +4 more
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Gaudin Model for the Multinomial Distribution
Annales Henri Poincaré, 2023 The goal of the paper is to analyze a Gaudin model for a polynomial representation of the Kohno-Drinfeld Lie algebra associated with the multinomial distribution. The main result is the construction of an explicit basis of the space of polynomials consisting of common eigenfunctions of Gaudin operators in terms of Aomoto-Gelfand hypergeometric series ...
openaire +2 more sources